We performed a comparison between Google Cloud and Heroku based on real PeerSpot user reviews.
Find out in this report how the two PaaS Clouds solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Google Cloud performs well."
"The solution can scale."
"The most valuable feature of Google Cloud is its flexibility."
"I have found this solution to be a quick and advanced way to run my models through."
"It's easy to work with."
"The infrastructure is easy to manage."
"The features I found most valuable are the cloud run and cloud function."
"Google Meet is simple to use regarding configuration and recording sessions."
"Thanks to Heroku, we don't need to do as much direct management in AWS."
"The platform is very Node.js-friendly, which is something that is important to us."
"The solution's most valuable feature is the auto maintenance of databases."
"The most valuable feature of Heroku is the continuous integration and applications it provides."
"Valuable for us was the fast deployment. This means the time to market is improved without pain for developers."
"It's easy to push a change and to deploy new things."
"One of the best things about Heroku is that it is very easy and straightforward to deploy an application."
"What I found most valuable about this solution is that it's easy to use and integrate with GitHub actions."
"I feel that the Google product is incomplete with regard to internal communications. It is an area that needs some improvement."
"Microsoft's solution is more common, Google Cloud could improve by being more compatible with different platforms or entities."
"Another issue is the applicability of local language data capturing mechanisms, which are more advanced on cloud service providers, but still there is room to grow. Also, their hybrid version isn't available in all markets worldwide, so I'm hoping that it will be released globally soon"
"I cannot recall coming across any missing features."
"Its integration with one of the third-party platforms could be better."
"Workload management could be better. Their pricing could also be more flexible."
"Could provide more services."
"An area of improvement would be in the of managing accounts in terms of what we are using for memory, availability, and monitoring."
"We have to do daily restarts of some processes, which is annoying, and the support for custom CI could be better."
"They could flesh out some of their analytics a little more."
"We don't find the pipelines intuitive. The user experience could be better. Having to set up multiple apps, then a pipeline, seems like an overkill on the amount of work to do."
"Heroku should increase its slug size limits."
"Their support is good, but they can improve their response time."
"Heroku doesn't support Docker images on the CI infrastructure."
"I improved the application performance by monitoring and adjusting the cleaner configuration to help set better lightweight limits on containers that run the app instances."
"We would like to be notified when something goes wrong in the process. When something is not working, we should get an alert."
Google Cloud is ranked 5th in PaaS Clouds with 66 reviews while Heroku is ranked 13th in PaaS Clouds with 28 reviews. Google Cloud is rated 8.2, while Heroku is rated 8.4. The top reviewer of Google Cloud writes "Great for big data with off-the-charts scalability for storage and databases". On the other hand, the top reviewer of Heroku writes "Used for server deployment and provides auto maintenance of databases". Google Cloud is most compared with Alibaba Cloud, Linode, Oracle Cloud Infrastructure (OCI), Pivotal Cloud Foundry and SAP HANA Enterprise Cloud, whereas Heroku is most compared with Microsoft Azure, Google App Engine, OpenShift, Pivotal Cloud Foundry and Amazon Lightsail. See our Google Cloud vs. Heroku report.
See our list of best PaaS Clouds vendors.
We monitor all PaaS Clouds reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.